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Application of Neural Network to Visual Inspection of Weld Bead(Physics, Process, Instruments & Measurements)

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Abstract

An example of application of neural network is introduced. The back propagation (BP) model is applied to the weld bead visual inspection. The bead shape data are divided into three categories. The network weight data are formed through the learning process for each category. It is shown that the discrimination between the sound bead and the defect bead can be done properly if the selection of the network parameters and the learning process are made suitably.

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Details

  • CRID
    1573105977115792896
  • NII Article ID
    110006486993
  • NII Book ID
    AA00867058
  • ISSN
    03874508
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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